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Managed MLflow VS DVC

Compare Managed MLflow VS DVC and see what are their differences

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Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

DVC logo DVC

Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • DVC Landing page
    Landing page //
    2023-09-01

Category Popularity

0-100% (relative to Managed MLflow and DVC)

Managed MLflow

DVC

Data Science And Machine Learning
71 71%
Data Science And Machine Learning
29% 29
Data Science Notebooks
66 66%
Data Science Notebooks
34% 34
Machine Learning Tools
100 100%
Machine Learning Tools
0% 0
AI
0 0%
AI
100% 100

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What are some alternatives?

When comparing Managed MLflow and DVC, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Weights & Biases - Developer tools for deep learning research

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

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